Proceedings ArticleDOI
A multi-scattering and multi-layer snow model and its validation
Jinyang Du,J. Shi,Saibun Tjuatja,Kun-Shan Chen +3 more
- pp 1219-1222
TLDR
A multi-layer, multi-scattering model based on recent theoretical advances in snow and surface modeling is developed and it was found that model predictions were in good agreement with field observations with proper particle size selected.Abstract:
Microwave scattering from snow is difficult to model due to the complexity and heterogeneity of natural snow. In this paper, we developed a multi-layer, multi-scattering model based on recent theoretical advances in snow and surface modeling. In the proposed multi-layer model, Matrix Doubling method is used to account for scattering from each snow layer; and Advanced Integral Equation Model (AIEM) is incorporated into the model to describe surface scattering. Comparisons were made between the model predictions and field observations from truck-mounted L- and Ku-band scatterometers (frequencies are 1.25 GHz and 15.5 GHz) at Local-Scale Observation Site (LSOS) of NASA Cold- land Processes Field Experiment (CLPX) during Third Intensive Observation Period (IOP3). It was found that model predictions were in good agreement with field observations with proper particle size selected. Analysis on scatterer shape, multiple scattering and snow stratification effects were also made based on model simulations.read more
Citations
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Journal ArticleDOI
Monitoring Snow Characteristics With Ground-Based Multifrequency Microwave Radiometry
Marco Brogioni,Giovanni Macelloni,Enrico Palchetti,Simonetta Paloscia,Paolo Pampaloni,Simone Pettinato,Emanuele Santi,Anselmo Cagnati,A. Crepaz +8 more
TL;DR: Comparisons of model simulations with experimental data allowed one to understand some peculiar characteristics of microwave emission from the snowpack related to its physical conditions, including the ratio of the brightness temperature to the effective temperature.
Proceedings Article
Monitoring Snow Characteristics With Ground-Based Multifrequency Microwave Radiometry
Marco Brogioni,Giovanni Macelloni,Enrico Palchetti,Simonetta Paloscia,Paolo Pampaloni,Simone Pettinato,Emanuele Santi,Anselmo Cagnati,A. Crepaz +8 more
TL;DR: In this paper, the authors used the advanced integral equation method to represent soil, coupled to a layer of dry snow whose electromagnetic properties are described by the dense medium radiative transfer theory with quasi-crystalline approximation applied to a medium (air) filled with sticky particles.
Proceedings ArticleDOI
Development of a Parameterized Snow Scattering Model
Jinyang Du,Jiancheng Shi +1 more
TL;DR: A parameterized dry snow scattering model for analyzing X-band and Ku-band snow measurements is developed, built from the microwave signal database simulated from a wide range of snowpack conditions by a theoretical model, which accounts for multiple-scattering effects and has been well-validated.
References
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Book
Microwave Scattering and Emission Models and their Applications
TL;DR: First-order radiative transfer solution passive sensing formulation of the surface scattering problem surface model and special cases ranges validity of the IEM model matrix doubling formulations for scattering and emission scattering and emissions models for snow and sea ice comparisons of model predictions with backscattering and emission measurements from snow and ice.
Journal ArticleDOI
Emission of rough surfaces calculated by the integral equation method with comparison to three-dimensional moment method simulations
TL;DR: The results based on the new version (advanced IEM) indicate that significant improvements for emissivity prediction may be obtained for a wide range of roughness scales, in particular in the intermediate roughness regions.
Journal ArticleDOI
Modeling Active Microwave Remote Sensing of Snow Using Dense Media Radiative Transfer (DMRT) Theory With Multiple-Scattering Effects
TL;DR: The results show that cross polarization for the case of densely packed spheres can be significant and can be merely 6 to 8 dB below copolarization and that the active 13.5-GHz backscattering coefficients still have significant sensitivity to snow thickness even for snow thickness exceeding 1 m.
Journal ArticleDOI
Estimation of snow water equivalence using SIR-C/X-SAR. II. Inferring snow depth and particle size
Jonathan Shi,Jeff Dozier +1 more
TL;DR: The authors develop semi-empirical models for characterizing the snow-ground interaction terms, the relationships between the ground surface backscattering components, and the snowpack extinction properties at C-band and X-band, and with these relationships, snow depth and optical equivalent grain size can be estimated from SIR-C/X-SAR measurements.
Proceedings ArticleDOI
Estimation of snow water equivalence using SIR-C/X-SAR
TL;DR: In this paper, the authors used the numerically simulated backscattering coefficients to estimate dry snow density, depth, grain size, under-ground dielectric constant and surface RMS height using multi-frequency and -polarization SAR measurements.
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